The Application of Computer Techniques to ECG Interpretation

This book presents some of the latest available information on automated ECG analysis written by many of the leading researchers in the field. It contains a historical introduction, an outline of the latest international standards for signal processing and communications and then an exciting variety of studies on electrophysiological modelling, ECG Imaging, artificial intelligence applied to resting and ambulatory ECGs, body surface mapping, big data in ECG based prediction, enhanced reliability of patient monitoring, and atrial abnormalities on the ECG. It provides an extremely valuable contribution to the field

Non-invasive procedure for fetal electrocardiography

Antenatal fetal surveillance is a field of increasing importance in modern obstetrics. Measurements extracted (such as fetal heart rate) from antenatal fetal monitoring techniques have the potential to reduce the social, personal and financial burdens of fetal death on families, health care systems and the community. Techniques to monitor the fetus through pregnancy have been developed with the aim of providing information to enable the clinician to diagnose fetal wellbeing, characterise development and detect abnormality. An early diagnosis before delivery may increase the effectiveness of the appropriate treatment. Over the years, various research efforts have been carried out in the field of fetal electrocardiography by attaching surface electrodes to the maternal body. Unfortunately the desired fetal heartbeat signals at the electrode output are buried in an additive mixture of undesired interference disturbances. In this thesis, a non-invasive fetal electrocardiogram machine has been designed, constructed and implemented. This machine is composed of three modified electrocardiogram circuits and an external soundcard. Data was acquired from four surface electrodes placed on the maternal body. Eleven pregnant subjects, with a gestation age between the 30th and 40th weeks of pregnancy, were used to investigate the validity of this machine. Fetal R-waves were detected in 72.7 percent of subjects. The development of a non-invasive machine, capable of detecting and recording valuable anatomic and electrophysiological information of a fetus, represents an important tool in clinical and investigative obstetrics

Current Issues and Recent Advances in Pacemaker Therapy

Patients with implanted pacemakers or defibrillators are frequently encountered in various healthcare settings. As these devices may be responsible for, or contribute to a variety of clinically significant issues, familiarity with their function and potential complications facilitates patient management. This book reviews several clinically relevant issues and recent advances of pacemaker therapy: implantation, device follow-up and management of complications. Innovations and research on the frontiers of this technology are also discussed as they may have wider utilization in the future. The book should provide useful information for clinicians involved in the management of patients with implanted antiarrhythmia devices and researchers working in the field of cardiac implants

Doctor of Philosophy

dissertationAtrial fibrillation (AF) is the leading cause of ischemic stroke and is the most commonly observed arrhythmia in clinical cardiology. Catheter ablation of AF, in which specific regions of cardiac anatomy associated with AF are intenionally injured to create scar tissue, has been honed over the last 15 years to become a relatively common and safe treatment option. However, the success of these anatomically driven ablation strategies, particularly in hearts that have been exposed to AF for extended periods, remains poor. AF induces changes in the electrical and structural properties of the cardiac tissue that further promotes the permanence of AF. In a process known as electroanatomical (EAM) mapping, clinicians record time signals known as electrograms (EGMs) from the heart and the locations of the recording sites to create geometric representations, or maps, of the electrophysiological properties of the heart. Analysis of the maps and the individual EGM morphologies can indicate regions of abnormal tissue, or substrates that facilitate arrhythmogenesis and AF perpetuation. Despite this progress, limitations in the control of devices currently used for EAM acquisition and reliance on suboptimal metrics of tissue viability appear to be hindering the potential of treatment guided by substrate mapping. In this research, we used computational models of cardiac excitation to evaluate param- eters of EAM that affect the performance of substrate mapping. These models, which have been validated with experimental and clinical studies, have yielded new insights into the limitations of current mapping systems, but more importantly, they guided us to develop new systems and metrics for robust substrate mapping. We report here on the progress in these simulation studies and on novel measurement approaches that have the potential to improve the robustness and precision of EAM in patients with arrhythmias. Appropriate detection of proarrhythmic substrates promises to improve ablation of AF beyond rudimentary destruction of anatomical targets to directed targeting of complicit tissues. Targeted treatment of AF sustaining tissues, based on the substrate mapping approaches described in this dissertation, has the potential to improve upon the efficacy of current AF treatment options

Heart Abnormality Detection Technique using PPG Signal

Cardiovascular disease (CVD) is the major cause of death in the world. Previous works have been performed to overcome this issue, however, a simple yet effective detection technique scarce. Thus, in this study, photoplethysmogram (PPG) signal which are easily acquired from the fingertip, low cost, and requires low power consumption, is used. These biosignals were obtained from MIMIC II Waveform Database, Version 3 Part 1 with sampling frequency of 200 Hz with the duration of 10 seconds each. The feature of the PPG signals were then extracted using MATLAB and the peak-to-peak intervals (PPI) of PPG signals were calculated and evaluated to differentiate between the normal and abnormal PPG signals. Based on the experimentation results, PPI values between the systolic peaks of abnormal PPG signals are larger than the normal PPG signals. The significant difference between the PPI values of normal and abnormal signals indicates the reliability of the proposed method as a technique to detect heart abnormalities

Towards a tricorder: clinical, health economic, and ethical investigation of point-of-care artificial intelligence electrocardiogram for heart failure

Heart failure (HF) is an international public health priority and a focus of the NHS Long Term Plan. There is a particular need in primary care for screening and early detection of heart failure with reduced ejection fraction (HFrEF) – the most common and serious HF subtype, and the only one with an abundant evidence base for effective therapies. Digital health technologies (DHTs) integrating artificial intelligence (AI) could improve diagnosis of HFrEF. Specifically, through a convergence of DHTs and AI, a single-lead electrocardiogram (ECG) can be recorded by a smart stethoscope and interrogated by AI (AI-ECG) to potentially serve as a point-of-care HFrEF test. However, there are concerning evidence gaps for such DHTs applying AI; across intersecting clinical, health economic, and ethical considerations. My thesis therefore investigates hypotheses that AI-ECG is 1.) Reliable, accurate, unbiased, and can be patient self-administered, 2.) Of justifiable health economic impact for primary care deployment, and 3.) Appropriate across ethical domains for deployment as a tool for patient self-administered screening. The theoretical basis for this work is presented in the Introduction (Chapter 1). Chapter 2 describes the first large-scale, multi-centre independent external validation study of AI-ECG, prospectively recruiting 1,050 patients and highlighting impressive performance: area under the curve, sensitivity, and specificity up to 0·91 (95% confidence interval: 0·88–0·95), 91·9% (78·1–98·3), and 80·2% (75·5–84·3) respectively; and absence of bias by age, sex, and ethnicity. Performance was independent of operator, and usability of the tool extended to patients being able to self-examine. Chapter 3 presents a clinical and health economic outcomes analysis using a contemporary digital repository of 2.5 million NHS patient records. A propensity-matched cohort was derived using all patients diagnosed with HF from 2015-2020 (n = 34,208). Novel findings included the unacceptable reality that 70% of index HF diagnoses are made through hospitalisation; where index diagnosis through primary care conferred a medium-term survival advantage and long-term cost saving (£2,500 per patient). This underpins a health economic model for the deployment of AI-ECG across primary care. Chapter 4 approaches a normative ethical analysis focusing on equity, agency, data rights, and responsibility for safe, effective, and trustworthy implementation of an unprecedented at-home patient self-administered AI-ECG screening programme. I propose approaches to mitigating any potential harms, towards preserving and promoting trust, patient engagement, and public health. Collectively, this thesis marks novel work highlighting AI-ECG as tool with the potential to address major cardiovascular public health priorities. Scrutiny through complimentary clinical, health economic, and ethical considerations can directly serve patients and health systems by blueprinting best-practice for the evaluation and implementation of DHTs integrating AI – building the conviction needed to realise the full potential of such technologies.Open Acces

Cardiac Arrhythmias

The most intimate mechanisms of cardiac arrhythmias are still quite unknown to scientists. Genetic studies on ionic alterations, the electrocardiographic features of cardiac rhythm and an arsenal of diagnostic tests have done more in the last five years than in all the history of cardiology. Similarly, therapy to prevent or cure such diseases is growing rapidly day by day. In this book the reader will be able to see with brighter light some of these intimate mechanisms of production, as well as cutting-edge therapies to date. Genetic studies, electrophysiological and electrocardiographyc features, ion channel alterations, heart diseases still unknown , and even the relationship between the psychic sphere and the heart have been exposed in this book. It deserves to be read

Innovations and mechanisms in pacing therapy for heart failure

Despite pharmacological advances, heart failure remains a major cause of mortality and morbidity. Pacing therapy for heart failure was achieved in the 1990s with the advent of biventricular pacing (BVP). BVP shortens ventricular activation time and has thus been referred to as ‘cardiac resynchronization therapy’ (CRT). However BVP has other effects including shortening of atrioventricular delay: the contributions of its effects to its overall benefit have yet to be elucidated. Ventricular activation is not normalised by BVP, indicating scope for more effective resynchronization. This thesis explores mechanisms and innovations in pacing therapy for heart failure through measurement of haemodynamic and electrical parameters with high precision and resolution during BVP, right ventricular pacing (RVP) and His bundle pacing (HBP), where the His-Purkinje conduction system is directly stimulated. HBP offers both an innovation in pacing and a model to study conventional pacing. HBP can deliver physiological CRT by overcoming left bundle branch block (LBBB) to normalise QRS appearances but its performance relative to BVP is not known. When performed proximally, or using lower energy, HBP can preserve intrinsic LBBB. In Chapter 3, the electro-mechanical effects of conventional BVP are compared with LBBB correction by HBP. Chapter 4 uses non-invasive electrical mapping to identify mechanisms and predictors of LBBB correction by HBP, comparing it with narrow QRS. Capture of the His bundle can be alone (selective HBP) or alongside myocardial capture (non-selective): the effect of this on HBP is studied in Chapter 5. In Chapter 6, the haemodynamic effects of proximal/low-energy HBP, where LBBB is preserved but atrioventricular timing can be optimised, is compared to BVP and RVP to measure the contribution of atrioventricular delay shortening to the overall benefit of BVP. By evaluating innovative therapies and improving our understanding of existing therapies, hopefully this thesis will advance pacing therapy for heart failure.Open Acces

Precordial Bipolar Leads for Mobile ECG Applications

Advances in measurement technology and wireless signal transfer have enabled the design of new, smaller and portable—even plaster-like—electrocardiographic (ECG) measurement devices that enable patient monitoring at home or in emergency situations. The development of new, miniaturized biomedical sensors has opened up possibilities for their application, but also set new demands on signal analysis and interpretation. In particular, the new small wireless systems often utilize bipolar electrodes that have a shorter interelectrode distance (IED) and different electrode locations from those of the standard 12-lead system. This affects the quality and the information content of the signal. The general objective of this thesis was to evaluate the performance of short IED precordial bipolar ECG leads and to determine their optimal location. This thesis adopted three methods to assess the properties of new bipolar precordial ECG leads: modeling, body surface potential map (BSPM) data, and exercise ECG data. First, two realistic, three-dimensional (3D) thorax models and lead field analysis were used to evaluate whether modeling of the measuring sensitivity of ECG leads could be used as a tool for designing new ECG leads. Second, BSPM data was used to study whether short-distance bipolar leads (IED approximately 6 cm) provide an ECG signal that is adequate for clinical utilization. Third, BSPM data was used to define where a bipolar ECG lead should be located in order to maximize the ECG signal strength within healthy subjects. Finally, the value of bipolar leads for diagnosing two major cardiac conditions—left ventricular hypertrophy (LVH) and coronary artery disease (CAD)—was assessed. It was found that the modeled measuring sensitivity corresponds to the changes in actual ECG signal strength, so modeling can be useful, especially in cases where in vivo measurements are impossible such as in designing implantable applications. Based on ECG data from 236 healthy subjects, all studied bipolar ECG leads with a short IED (approximately 6 cm) provided a detectable signal when compared to a low noise level of 15 μV and considering the P-wave as the smallest parameter. The optimal location of the bipolar lead was diagonally near the chest electrodes of the standard precordial leads V2, V3, and V4 (to maximize QRS amplitude), or above the chest electrodes of leads V1 and V2 (to maximize P-wave amplitude). In the selected clinical applications, LVH and CAD, the performance of bipolar leads was surprisingly good. In differentiating LVH (n=305) and healthy subjects (n=236), the performance of a correctly positioned small bipolar lead was similar to that of the traditional Sokolow-Lyon method. When differentiating CAD (n=255) patients from non-CAD (n=126) or low-likelihood of CAD (n=198) subjects, the overall performance of bipolar lead CM5 corresponded to that of standard lead V5. These results indicate that short IED bipolar leads provide a signal that is adequate for clinical use. Furthermore, the performance of these leads was shown to be similar or even superior to that of the commonly used standard leads. It can be concluded that when correctly positioned, short IED bipolar leads are useful and can give additional value for clinical diagnostics. These results provide promising information on the applicability and potential of short IED bipolar ECG leads, and demonstrate that they are worth developing further